Hello

I am Suparna

I am a Researcher at Siemens Healthineers, focusing on application of data sciences to Diagnostics. I completed my Ph.D., advised by Prof. Vaibhav Rajan, from National University of Singapore in December 2024.

I am interested in addressing problems in Healthcare using Deep Learning, specifically in using multiple data sources and their interpretability. I have also worked on wearable data to personalize interventions for increasing physical activity. I have experience in application to Images, Speech, Biomedical Images, and Fitness Data.

Current Affiliation

Lead Research Engineer,

Center for Innovation in Diagnostics,

Siemens Healthineers, Bangalore, India

Education

PhD (Information Systems and Analytics), National University of Singapore (NUS)

[Aug 2019 - Dec 2024] Clinical Data Analytics Lab, DISA, NUS

M.Tech. (IT with Data Science specialization) - International Institute of Information Technology, Bangalore (IIIT-B)

B.E. (Computer Engineering) - Savitribai Phule Pune University [I2IT, Pune]

Publications

Evaluating Explanations from AI Algorithms for Clinical Decision-Making: A Social Science-based Approach, Suparna Ghanvatkar and Vaibhav Rajan, IEEE Journal of Biomedical and Health Informatics (J-BHI), vol. 28, no. 7, pp. 4269-4280, July 2024, DOI: 10.1109/JBHI.2024.3393719
Theory-driven Evaluation of Usefulness of Explanations in Clinical Decision Support Systems, Suparna Ghanvatkar and Vaibhav Rajan, Conference on Health IT and Analytics CHITA 2023
Towards a Theory-Based Evaluation of Explainable Predictions in Healthcare, Suparna Ghanvatkar, Vaibhav Rajan, Short Paper, International Conference on Information Systems ICIS 2022, Copenhagen, Denmark. PDF
Temporal Personalization of a Digital Intervention for Physical Activity, Suparna Ghanvatkar, Saurabh Chaudhari, Atreyi Kankanhalli, Short Paper, Pacific Asia Conference on Information Systems PACIS 2022. PDF
Personalization of Intervention Timing for Physical Activity: Scoping Review, Saurabh Chaudhari, Suparna Ghanvatkar, Atreyi Kankanhalli, JMIR Mhealth Uhealth 2022;10(2):e31327, DOI: 10.2196/31327
Deep Recurrent Neural Networks for Mortality Prediction in Intensive Care using Clinical Time Series at Multiple Resolutions, Suparna Ghanvatkar, Vaibhav Rajan, Short Paper, International Conference on Information Systems ICIS 2019, Munich, Germany. PDF
User Models for Personalized Physical Activity Interventions: A Scoping Review , Suparna Ghanvatkar, Atreyi Kankanhalli, Vaibhav Rajan, JMIR mHealth and uHealth, JMIR Mhealth Uhealth 2019;7(1):e11098. DOI: 10.2196/11098
Detecting Temporal Pattern Profiles from Smartphones for User Activity Analysis, Suparna Ghanvatkar, Vaibhav Rajan, Atreyi Kankanahalli, Short Paper, International Conference on Information Systems ICIS 2018, San Francisco, USA. PDF

Research Experience

NUS Singapore - Mortality prediction in Intensive Care (Jun 2018 - Jun 2019)
NUS Singapore - Personalization for physical activity based on fitness data (Jan -May 2018)
Mazumdar Shaw Medical Foundation - Necrosis Identification for Glioblastoma H&E slides (Aug-Nov 2017)
VideoKen - Automatic Speech Recognition for Indian accented English (May-July 2017)

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